The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 341 files from 1 736 authors, of which 61 700 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Use this skill for any task involving English-Thai or Thai-English translation, localization, or rewording. Trigger whenever the user asks to: translate text between Thai and English, localize content for a Thai audience, render English idioms in Thai (or vice versa), pick the right pronouns and register, choose between keeping a term in English vs ทับศัพท์, or fix awkward translations. Also trigger for requests like "แปลเป็นไทย", "แปลอังกฤษเป็นไทย", "ช่วยแปลหน่อย", "localize Thai", "translate this", "Thai version", or any variation. If the task involves moving meaning between Thai and English at any level — word, sentence, document — use this skill.
Use this skill for any task involving Thai text in code — word segmentation, Unicode normalization, sorting/collation, search indexing, romanization, truncation, or database/Elasticsearch configuration for Thai. Trigger whenever the user asks to: tokenize / segment Thai (no spaces between words), normalize Thai text (NFC vs decomposed), sort Thai strings correctly, transliterate to roman / Latin, build a Thai search index, fix Thai text that breaks length limits or renders broken glyphs, or pick a Thai NLP library. Also trigger for requests like "ตัดคำภาษาไทย", "Thai word segmentation", "Thai NLP", "ค้นหาภาษาไทย", "Thai romanization", "PyThaiNLP", "Thai sort", "ICU Thai", "Thai collation", "Thai search index", "Thai full text search", or any variation. If the task involves processing Thai text in software, use this skill.
> C# Openness implementation of device-level operations
> creating Add-In C# projects, adding Add-In templates, compiling and debugging Add-Ins, converting Add-Ins from older TIA Portal versions and configuring Add-In project parameters.
> C# Openness implementation of import/export and round-trip engineering.
> Standalone skill for multi-perspective PLC code security and quality analysis. "code review", "check this code", "is this safe", "find issues" when combined with PLC, SCL, ST, LAD, FBD, Structured Text, or block context. Also triggers when the user pastes PLC code and asks for feedback, or uploads exported SimaticML XML files. This skill is independent of tia-openness-roadmap — it does not perform engineering automation. It analyzes code that has already been exported, pasted, or is accessible via the TIA Portal MCP server.
> TIA Portal Multiuser Engineering operations. Use for managing server projects, local sessions, and multiuser commissioning workflows.
> C# Openness implementation of HMI engineering.
Manual prerequisite probe for TIA Portal, Openness, Python TIA Scripting, and TIA MCP.
Internal reference skill — do NOT load directly from user queries.
> C# Openness implementation of topology and low-level network engineering.
> Entry point for ALL TIA Portal engineering automation tasks. Always load this skill FIRST when the user mentions TIA Portal, TIA Openness, TIA Scripting, Siemens PLC, Siemens HMI, TIA Portal Add-In, or any automation/engineering task targeting TIA Portal. This skill routes to the correct domain skill and selects MCP, Python, or C# implementation.
Reference routed skill. Do NOT load directly unless user says so.
> SIMATIC Drive Controller, PROFIdrive integrated properties, drive telegrams, and integrated drive configuration. Always uses C# TIA Portal Openness.
> Use when the TIA Portal MCP server is available for focused, guarded project reads and writes. Use TIA Openness skills for complex multi-step automation.
C# Openness implementation of project and portal lifecycle.
C# Openness implementation of PLC software engineering.
> TIA Portal Teamcenter Integration operations. Use for managing Teamcenter storage and interacting with Teamcenter managed projects.
> TIA Portal TestSuite and Application Test operations. Use for managing test sets, application tests, style guide rules, and automated system testing workflows.
This skill should be used when the user asks about the "CAP theorem", "PACELC", a "consistency model", "eventual vs strong consistency", "read-your-writes", "causal consistency", "quorum" or "R+W>N", "consensus", "Raft / Paxos", "leader election", "consistent hashing", a "distributed transaction", "2PC", or "saga". Use it whenever a design has multiple copies of data or coordinating nodes and a decision hinges on what a reader is guaranteed to see during replication lag, a network partition, or a node failure — even if the user doesn't say "consistency".
This skill should be used when the user wants a "blob store" or "object storage", names "S3" or an S3-compatible store, needs to "store images / video / files", asks about "multipart upload" or "resumable upload", "signed / presigned URLs", "media storage", "unstructured data at scale", object "versioning", storage "tiering" (hot/cold/archive), or "erasure coding" vs replication for durability. Use it whenever a design must hold large unstructured objects (photos, video, backups, logs, ML datasets) and serve them cheaply and durably, even if the user just says "where do we put the files".
This skill should be used when the user asks "SQL or NoSQL", "which database", how to design a "data model" or "schema design", picks an "indexing" strategy, needs "sharding" or "partitioning", sets up "replication" (leader-follower / multi-leader), defines a "primary key"/"sort key", asks whether to "denormalize", or weighs "polyglot persistence". Use it whenever a design must decide where records live, how they are keyed and accessed, and how the store scales past one node — even if the user just says "store the data".
This skill should be used when the user asks about a "CDN", "edge caching", "static asset delivery", "media / video delivery", "geo distribution of content" or "edge POP selection", "push vs pull CDN", "cache-control headers" / "TTL for static assets", "origin offload", or "origin shield". It gives the recipe for serving bytes from the edge close to users. Use it whenever a design serves images, video, JS/CSS, or downloads to a wide geography, or the origin is saturated by repeat reads of the same files, even if the user doesn't say "CDN".
This skill should be used when the user needs to "design the API", do "endpoint design", pin down a "request/response shape", choose a "pagination" strategy (cursor vs offset), add an "idempotency key" to a write, plan "API versioning", an "error contract", or pick between "REST vs gRPC vs GraphQL" or "WebSocket vs polling". Use it whenever a design has reached the interface — the concrete request, response, primary access path, and how clients page, retry, and version — even if the user only said "the boxes talk to each other".
This skill should be used when the user asks about a "caching strategy", "cache invalidation", "what to cache", "read-through vs write-through vs write-back", "cache eviction" (LRU/LFU/TTL), "Redis vs Memcached", "stale reads", or hits "thundering herd", "cache stampede", "cache penetration", or "hot key" problems. Use it whenever a design is read-heavy or a datastore is overloaded by reads, even if the user doesn't say "cache".
This skill should be used when the user needs to "estimate QPS", "back-of-the-envelope" (BOTEC) numbers, "how much storage / bandwidth", "how many servers", "peak load", "capacity planning", or wants the standard latency / throughput / availability numbers to ground a design (latency table, QPS rates, powers of two, nines). Use it whenever a design decision hinges on scale — convert any "high traffic" / "huge data" phrase into concrete numbers before choosing components, even if the user doesn't say "estimate".
This skill should be used when a system design needs a diagram — "draw the architecture", "diagram this system", "show the components", "make an architecture/infrastructure/topology diagram", or visualizing boxes-and-arrows, data flow, regions, or failure paths for a design. It generates a self-contained dark-theme HTML + SVG diagram (with PNG/PDF export). Use it whenever the `system-design` orchestrator or a building block reaches the "draw it" step, even if the user doesn't say "diagram".
This skill should be used when the user designs "distributed logging", "log aggregation", "centralized logs", an "ELK" or "EFK" stack, "log shipping", "structured logging", a "correlation ID" or "trace ID" in logs, "log retention", or "high-volume log ingest". It gives the collect → buffer → ship → index → store → retain pipeline, sampling, ordering, and cold-storage tiering. Use it whenever many services emit logs that must be searched in one place under load, even if the user doesn't say "logging pipeline".
This skill should be used when the user designs a "search system", needs "full-text search", asks about an "inverted index", "Elasticsearch / OpenSearch", "relevance ranking" (TF-IDF/BM25), "search autocomplete / typeahead", an "indexing pipeline", or "faceted search". It gives the crawl/index/search architecture, index sharding and replication, ranking, and near-real-time indexing. Use it whenever users must query text by relevance rather than fetch rows by key, even if they don't say "search engine".
This skill should be used when the user designs a "message queue", reaches for "Kafka", "RabbitMQ", "SQS", "Kinesis", "pub/sub", or "event-driven" architecture, asks about "async processing", "background jobs", "stream processing", or wrestles with "exactly-once vs at-least-once", "delivery guarantees", "message ordering", "duplicate handling / dedup", "dead letter queue", "backpressure", "saga orchestration", or "durable workflow". Use it whenever a slow or spiky operation should move off the request path, or two services must be decoupled, even if the user doesn't say "queue".
This skill should be used when the user needs to "clarify requirements", separate "functional vs non-functional requirements", "scope the problem", figure out "what questions should I ask", state the "requirements for <X>", or otherwise pin down a vague design prompt before building. It turns an ambiguous ask into functional requirements, non-functional constraints, and an explicit out-of-scope. Use it whenever a prompt is broad or under-specified ("design Twitter", "build a chat app") even if the user doesn't say "requirements".
This skill should be used when the user asks about "DNS", "domain resolution", "GeoDNS / geo routing", "latency-based routing", "weighted / failover routing", "Route 53 / Cloud DNS", an "A/CNAME/ALIAS record", "anycast", or "DNS TTL / propagation". It gives the global front door that maps a name to the right IP and steers users to the right region or endpoint. Use it whenever a design must direct traffic across regions/data centers, do health-checked failover at the name layer, or expose a stable hostname even if the user doesn't say "DNS".
This skill should be used when the user asks about "observability" or "monitoring", what "metrics, logs, and traces" to collect, "health checks" (liveness/readiness), "alerting" or "on-call", "SLO/SLI" or "error budgets", the "RED" or "USE" method, "dashboards", or names a tool like "Prometheus", "Grafana", or "Datadog". Use it whenever a design has no answer to "how would we know this is broken?" or "what do we alert on?" — i.e. any time failure would be invisible until users complain, even if the user doesn't say "observability".
This skill should be used when the user asks about "fault tolerance", "resilience", a "circuit breaker", "graceful degradation", "retry storm" or "thundering herd on recovery", "exponential backoff with jitter", "timeout", "bulkhead", a "single point of failure" (SPOF), "failover", or "rate limiting" (token bucket / leaky bucket / sliding window). Use it whenever a design must keep working through node crashes, slow dependencies, traffic spikes, or partial outages — i.e. any time the answer to "what happens when this breaks?" is missing, even if the user doesn't say "resilience".
This skill should be used when the user adds a "load balancer", asks about "L4 vs L7" (transport vs application layer), picks a balancing algorithm ("round robin", "least connections", "weighted", "IP hash"), configures "health checks", needs "sticky sessions" / "session affinity", adds a "reverse proxy", does "SSL/TLS termination", spreads "traffic distribution" across an "autoscaling group", or wants a stateless web tier behind a single entry point. Use it whenever a design has more than one server behind one address, or a single box is the entry-point bottleneck or SPOF, even if the user doesn't say "load balancer".
This skill should be used when the user asks "monolith vs microservices", how to "split into services", set "service boundaries", find the right "service granularity", design an "API gateway / BFF", do "service discovery" or add a "service mesh", or worries that services are "too chatty" / "too fine-grained". It gives the recipe for carving a system into services (or deciding not to) and wiring how they find and call each other. Use it whenever a design has more than one service — or someone is tempted to add more — even if the user doesn't say "microservices".
This skill should be used when the user asks "how does this scale", "scale to millions", "scaling roadmap", "where is the bottleneck", "what breaks first", "10x growth", "vertical vs horizontal scaling", "scale from zero", or "what's the next scale curve". It gives the order-of-magnitude evolution path (single server → tiers → replicas → cache → CDN → stateless tier → multi-region → sharding) and a way to diagnose the *next* bottleneck instead of memorizing one big diagram. Use it whenever a design must grow by orders of magnitude or a load increase is on the table, even if the user doesn't say "scaling".
This skill should be used when the user asks to "design a system", "design <a product>" (e.g. "design WhatsApp", "design a URL shortener", "design a news feed"), "high-level architecture for…", "how would you architect…", "system design interview", or wants to scope, diagram, and justify a backend/distributed-system design. It runs a reasoning loop — clarify, estimate, design, weigh trade-offs, stress-test, iterate — and routes to focused building-block skills. Use it whenever a request is an open-ended design problem, even if the user doesn't say "system design".
This skill should be used when the user needs a "unique ID generator", "distributed IDs", a "Snowflake ID", asks "UUID vs auto-increment", wants a "time-sortable ID", a "monotonic sequence", a "ticket server", or "ID generation at scale". It gives a menu of ID schemes (UUID/ULID, Snowflake-style, DB ticket/range) with their causality, ordering, and clock-skew trade-offs. Use it whenever a design needs collision-free identifiers across many nodes, even if the user doesn't say "sequencer".
This skill should be used when the user needs a "sharded counter", "distributed counter", to "count likes / views at scale", handles a "high-write counter" or "hot counter contention", asks about "approximate counting", "real-time counts", or "HyperLogLog". It gives the recipe for absorbing write-heavy counting without a single hot row. Use it whenever one row/key takes concurrent increments faster than it can serialize them, even if the user doesn't say "sharded counter".
This skill should be used when the user designs a "task scheduler", "job scheduler", "job queue", "cron at scale", "distributed cron", "delayed / scheduled / recurring tasks", a "worker pool", reaches for "Celery / Sidekiq / Airflow", or wrestles with "task leasing", visibility timeouts, job priorities, fairness, or duplicate task execution. Use it whenever work must run later, on a schedule, or be reliably leased to a pool of workers, even if the user doesn't say "scheduler". (For plain queue transport and delivery guarantees, that is `messaging-streaming`.)
Convert arXiv papers to Markdown documentation. Fetches available materials from arXiv (LaTeX source when available + PDF), converts LaTeX to Markdown via pandoc (happy path). PDF-only papers get a naive single-column fallback — use the specialized PDF scripts for better results.
Look up arXiv paper metadata via the arXiv API. Use when you need to get a journal DOI from an arXiv ID (for OpenAlex integration), or find an arXiv ID from a title/keyword search (for arxiv-doc-builder). Requires the `arxiv` Python package.
Manage harbor configuration in config/harbor.yaml. View or update collector and catalog settings.
Manage governance policies for skills in config/governance.yaml. Set, remove, or list usage policies.
| ビルドワークフロー。検証 → 設定確認 → ビルド実行 → エラー対応。
| シーン構築ワークフロー。オブジェクト配置、コンポーネント設定、Prefab化、シーン保存。
| パフォーマンス計測ワークフロー。プロファイリング、GC 分析、最適化提案。
| アセット管理ワークフロー。依存関係調査、参照整合性チェック、パッケージ管理。
unity-cli 共通ルール。全 unity-* スキルが自動ロードする前提条件。Use as prerequisite for any unity-* skill (verification sequence, fallback order, security policy).
| UI 開発・検査・自動テストワークフロー。uitree で構造把握→pytest E2E テスト生成→PlayMode テストに移植。
| Unity API の探索と実行。u api schema で検索、u api call で任意の public static メソッドを呼ぶ。
| ランタイムエラー・NullReference・コンソールログの調査ワークフロー。
| コード変更後の検証ワークフロー。refresh → コンパイル待ち → エラー確認 → 任意でテスト。
Implement the Syncfusion .NET MAUI Bottom Sheet (SfBottomSheet) control with state management, content configuration, gesture support, and customization. Covers setup, content binding, state transitions, styling, events, and interactive patterns for sliding content panels.
Implements Syncfusion .NET MAUI Cartesian Chart (SfCartesianChart) for data visualization with 20+ chart types including line, area, column, bar, financial, statistical, and stacked charts. Use when implementing cartesian charts, line charts, area charts, or financial charts (candle, OHLC). Covers chart axes, legends, tooltips, trackball, zooming and panning, and chart annotations.
Implements Syncfusion .NET MAUI Accordion (SfAccordion) - a vertically collapsible panel with stacked headers for expanding/collapsing content. Use when working with accordions, collapsible panels, expandable lists, employee lists with details, or FAQ sections in .NET MAUI applications. Covers AccordionItem configuration, expand modes, and grouped content display.
Implements and customize Syncfusion .NET MAUI Button (SfButton) control. Use when working with MAUI buttons, SfButton implementation, button customization, or visual states. Covers button icons, background images, RTL support, custom button views, button styling, events, and checkable buttons.
Implements Syncfusion .NET MAUI Chips (SfChip or SfChipGroup). Use when working with chips, tags, tag controls, selection chips, input chips, or filter chips in .NET MAUI applications. Covers chip types, chip customization, chip events, chip selection, chip groups, remove chips, close button chips, and chip data binding.
Implements and customize Syncfusion .NET MAUI Calendar (SfCalendar) control. Use when implementing calendar functionality, date selection (single, multiple, range), or calendar views (month, year, decade, century). Covers date restrictions (min/max dates, EnablePastDates, SelectableDayPredicate), calendar customization, events (ViewChanged, SelectionChanged, Tapped), and header/footer customization.
Answers built from the skills we actually parsed.